Partial Shading Effect on I-V Characteristic and Maximum Power of a Photovoltaic Array

Several algorithms have been offered to track the Maximum Power Point when we have one maximum power point. Moreover, fuzzy control and neural was utilized to track the Maximum Power Point when we have multi-peaks power points. In this paper, we will propose an improved Maximum Power Point tracking method for the photovoltaic system utilizing a modified PSO algorithm. The main advantage of the method is the decreasing of the steady state oscillation (to practically zero) once the Maximum Power Point is located. moreover, the proposed method has the ability to track the Maximum Power Point for the extreme environmental condition that cause the presence of maximum multi-power points, for example, partial shading condition and large fluctuations of insolation. To evaluate the effectiveness of the proposed method, MATLAB simulations are carried out under very challenging circumstance, namely step changes in irradiance, step changes in load, and partial shading of the Photovoltaic array. Finally, its performance is compared with the perturbation and observation” and fuzzy logic results for the single peak, and the neural-fuzzy control results for the multi-peaks.

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Optimized Modeling and Control Strategy of the Single-Phase Photovoltaic Grid-Connected Cascaded H-bridge Multilevel Inverter

Electronics ◽

10.3390/electronics7090207 ◽

2018 ◽

Vol 7 (9) ◽

pp. 207 ◽

Cited By ~ 4

Author(s):

Seongjun Lee ◽

Jonghoon Kim

Keyword(s):

Single Phase ◽

Control Method ◽

Maximum Power ◽

Multilevel Inverter ◽

Duty Ratio ◽

Control Loop ◽

Partial Shading ◽

Modeling And Control ◽

Photovoltaic Array ◽

And Control

This paper presents the modeling and control-loop design method with an inverted decoupling scheme of a single-phase photovoltaic grid-connected five-level cascaded H-bridge multilevel inverter. For the unity power factor, the proportional and integral current controller with a duty ratio feed-forward compensation is used. In addition, in order to achieve the maximum power point tracking of each photovoltaic array, when the stacked modules are in the partial shading condition, each direct current (DC) voltage is stably controlled to their maximum power points (MPP) by dedicated voltage controllers of each H-bridge module. This paper also presents a control method that minimizes the effect of the loop-interaction in the design of an individual DC-link voltage control loop in a two-input two-output system. The proposed control methods of the cascaded H-bridge multilevel inverter are validated through the simulation and experimental results of the 2-kW prototype hardware.

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A Robust Strategy Based on Marine Predators Algorithm for Large Scale Photovoltaic Array Reconfiguration to Mitigate the Partial Shading Effect on the Performance of PV System

IEEE Access ◽

10.1109/access.2020.3000420 ◽

2020 ◽

Vol 8 ◽

pp. 112407-112426 ◽

Cited By ~ 8

Author(s):

Dalia Yousri ◽

Thanikanti Sudhakar Babu ◽

Eman Beshr ◽

Magdy B. Eteiba ◽

Dalia Allam

Keyword(s):

Large Scale ◽

Pv System ◽

Partial Shading ◽

Shading Effect ◽

Photovoltaic Array ◽

Marine Predators

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MPPT control based on improved mayfly optimization algorithm under complex shading conditions

International Journal of Emerging Electric Power Systems ◽

10.1515/ijeeps-2021-0008 ◽

2021 ◽

Vol 0 (0) ◽

Author(s):

Xingmin He ◽

Baina He ◽

Yunwei Zhao ◽

Rongxi Cui ◽

Jingru Zhang ◽

...

Keyword(s):

Optimization Algorithm ◽

Photovoltaic Cell ◽

Search Space ◽

Maximum Power ◽

Partial Shading ◽

Photovoltaic Array ◽

Point Tracking ◽

Output Efficiency ◽

Tracking Time ◽

Power Point

Abstract The output power curve of the photovoltaic array presents a multi-peak characteristic under partial shading conditions, which causes the traditional maximum power point tracking technology to fail to guarantee the maximum power output of the photovoltaic cell. In response to this problem, this paper proposes to apply the improved Mayfly Optimization Algorithm (MA) to the maximum power tracking control. By introducing the gravity factor and limiting the search space of male mayfly, the optimization accuracy of the algorithm is enhanced, the vibration of the algorithm near the MPP is reduced, and the occurrence of premature phenomenon is avoided. Three test functions are selected to verify the algorithm, and under the conditions of rapid irradiance changes and complex shadow occlusion, an MPPT model based on the Boost circuit is established to verify the effectiveness of the algorithm. The simulation results show that the improved MA algorithm can effectively converge to MPP under complex shading conditions, and the output efficiency of photovoltaic arrays can be maintained above 99.96%. The average tracking time for different shading patterns is about 0.15 s.

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